Package: rangeModelMetadata 0.1.4
rangeModelMetadata: Provides Templates for Metadata Files Associated with Species Range Models
Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Merow et al. (2019) <doi:10.1111/geb.12993> describe the standards in more detail. Note that users who prefer to use the R package 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.
Authors:
rangeModelMetadata_0.1.4.tar.gz
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rangeModelMetadata.pdf |rangeModelMetadata.html✨
rangeModelMetadata/json (API)
# Install 'rangeModelMetadata' in R: |
install.packages('rangeModelMetadata', repos = c('https://cmerow.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cmerow/rangemodelmetadata/issues
ecological-metadata-languageecological-modellingecological-modelsecologyspecies-distribution-modellingspecies-distributions
Last updated 4 months agofrom:b5564589e3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:.rmmLeftJustifycleanForCSVcsvToRMMrmmAutofillBIENrmmAutofillEnvironmentrmmAutofillPackageCitationrmmAutofillspoccrmmCheckEmptyrmmCheckFinalizermmCheckMissingNamesrmmCheckNamermmCheckShinyrmmCheckValuermmCleanNULLsrmmDataDictionaryrmmFamiliesrmmSuggestrmmTemplatermmToCSV
Dependencies:apeaskpassassertthatbackportsbase64encBIENbitbit64blobbroombslibcachemcallrcellrangerclassclassIntclicliprcodetoolscolorspacecommonmarkconflictedcowplotcpp11crayoncrosstalkcrulcurldata.tableDBIdbplyrdigestdoParalleldplyrdtplyre1071evaluatefansifarverfasterizefastmapfontawesomeforcatsforeachfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshtmlwidgetshttpcodehttpuvhttridsisobanditeratorsjquerylibjsonlitekableExtraKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclelubridatemagrittrmapsMASSMatrixmemoisemgcvmimemodelrmunsellnlmeoaiopensslpillarpkgconfigplyrpngprettyunitsprocessxprogresspromisesproxypspurrrR6raggrappdirsrasterRColorBrewerRcppRcppArmadilloreadrreadxlrebirdrematchrematch2reprexrgbifridigbiorlangrmarkdownRPostgreSQLrstudioapirvertnetrvests2sassscalesselectrsfshinysourcetoolsspspoccstringistringrsvglitesyssystemfontsterratextshapingtibbletidyrtidyselecttidyversetimechangetinytextriebeardtzdbunitsurltoolsutf8uuidvctrsviridisLitevroomwhiskerwithrwkxfunxml2xtableyaml
An overview of making rangeModelMetadata objects
Rendered fromrmm_vignette.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2023-10-16
Started: 2017-11-30
rangeModelMetadata Function Directory
Rendered fromrmm_directory.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2023-10-16
Started: 2017-12-15
rangeModelMetaData with Multiple Species
Rendered fromrmm_Multispecies.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2023-10-16
Started: 2018-09-17